학술논문
Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
Document Type
article
Author
Source
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Subject
Language
English
ISSN
2041-1723
Abstract
Altered protein glycosylation is increasingly recognized as a hallmark of cancer. Here, the authors profile the glycoproteome of 119 high-grade serous ovarian carcinoma tissues, showing that glycosylation patterns correlate with tumor molecular subtypes and clinical outcomes.